What is deep learning and how does it work?

What is deep learning and how does it work?

Deep learning is a subset of machine learning that uses neural networks with many layers to analyze various factors of data.

Can you explain how neural networks are structured?

Neural networks consist of layers: an input layer, hidden layers, and an output layer, where each layer contains nodes.

What are some common applications of deep learning?

Common applications include image and speech recognition, natural language processing, and autonomous vehicles.

How does deep learning differ from traditional machine learning?

Deep learning automatically extracts features from raw data, while traditional machine learning often requires manual feature extraction.

What are the challenges in training deep learning models?

Challenges include the need for large datasets, high computational power, and the risk of overfitting.